"Learning better models for inverse problems in vision" 

Thomas Pock is a Professor of Computer Science at Graz University of Technology, where he is leading the vision, learning and optimization (VLO) group. The focus of his research is image processing, computer vision, inverse problems, convex and non-smooth optimization and machine learning.

Prof. Pock will present his latest approaches to learn better models for solving inverse vision problems. He will show how the models can be successively improved and their parameters learned from data.

Join the talk via Cisco Webex Meetings (App download required)